Demand Response Model of Low-Carbon Economy in Integrated Energy System Based on Carbon Flow Traceability

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Engineering reports : open access Pub Date : 2025-04-07 DOI:10.1002/eng2.70097
Yu Liu, Xinmei Wang, Songda Li, Lili Liu, Yi Zhao, Ming Yu
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Abstract

With the gradual liberalization of the carbon market and distributed trading market, the economic incentive trading market mechanism has become an effective way to promote carbon emission reduction in microgrids. At present, most of the existing studies on the low-carbon operation of integrated energy systems focus on the source side and rarely extend to the load side, and do not consider the demand response characteristics of different loads. Therefore, based on the carbon flow tracing method of the power system, this paper presents a model to adjust the load side operating state of the power system by using price incentive. Firstly, the carbon flow tracing model of the integrated energy system is established, and carbon flow indexes such as node carbon potential are obtained. At the same time, considering different load types, the carbon reduction response mechanism of two loads is established through carbon trading. On this basis, according to the carbon flow index, the two-stage optimal scheduling model of the power network with the coordination and interaction between the two sides of the source and load is established and solved. The simulation results show that the model combines carbon trading and demand response, which can effectively reduce carbon emissions and significantly improve the environmental benefits of the system.

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基于碳流可追溯的综合能源系统低碳经济需求响应模型
随着碳市场和分布式交易市场的逐步放开,经济激励交易市场机制已成为推动微电网碳减排的有效途径。目前,现有的综合能源系统低碳运行研究大多集中在源侧,很少延伸到负荷侧,没有考虑不同负荷的需求响应特征。因此,本文在电力系统碳流追踪方法的基础上,提出了一种利用价格激励对电力系统负荷侧运行状态进行调整的模型。首先,建立综合能源系统碳流溯源模型,获得节点碳势等碳流指标;同时,考虑不同负荷类型,通过碳交易建立两种负荷的碳减排响应机制。在此基础上,根据碳流指标,建立并求解了源负荷双方协调互动的电网两阶段最优调度模型。仿真结果表明,该模型将碳交易与需求响应相结合,能够有效降低碳排放,显著提高系统的环境效益。
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审稿时长
19 weeks
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